Emilie Morvant
8 papers · 2013–2024 · 4 conferences · across top CS/AI conferences
Achievements
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๐บ๏ธ Taxonomy Completionist (18) ๐ Interdisciplinary Bridge ๐ Academic Marathon (11) ๐ Cross-Pollinator (8) ๐งญ Keyword Pioneer
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Hot Topic Early Bird
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Conference Polyglot
(4)
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Trend Setter
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Conference Pioneer
Conferences
NIPS (3)
AISTATS (2)
ICML (2)
ACML (1)
Top co-authors
Keywords
generalization bound
(4)
majority vote
(3)
kernel methods
(2)
domain adaptation
(2)
multimodal learning
(1)
pac-bayes theory
(1)
gibbs classifier
(1)
source domain
(1)
target domain
(1)
structured output learning
(1)
structured output
(1)
gibbs distribution
(1)
multilabel classification
(1)
hypothesis class
(1)
max-margin markov networks
(1)
spanning tree inference
(1)
adversarial attack
(1)
linear classifier
(1)
stochastic model
(1)
graphical model
(1)
Papers
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
AISTATS 2024
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
NIPS 2021
A PAC-Bayes Analysis of Adversarial Robustness
NIPS 2021
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
AISTATS 2019
A New PAC-Bayesian Perspective on Domain Adaptation
ICML 2016
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
NIPS 2014
The Multi-Task Learning View of Multimodal Data
ACML 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
ICML 2013